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Data movement on Google Cloud

A complete suite of data ingestion, integration, and replication products to move your data into Google Cloud and unlock value from it.

  • Simplified: easy approach with a highly differentiated portfolio.

  • Comprehensive: using cloud-native, open source, or no-code/low-code solutions on Google Cloud.

  • Open ecosystem: supplemented by key strategic partners to support your data movement needs.

Key features

Key features

Data ingestion

Pure data ingestion without any transforms gets your raw data into Google Cloud. 

Data integration

Combine multiple data sources covering ETL and ELT patterns.

Data replication

Replication and change data capture for instant data synchronization.

Compare features

A comprehensive set of solutions to make data movement seamless

Workload

Data movement solutions

Key products

Data ingestion

  • Pure data ingestion without any transforms gets your raw data into Google Cloud.

Data integration

  • Combine multiple data sources covering ETL and ELT patterns.

  • Cloud native: Fully managed and unified data processing and integration platform: Dataflow.

  • Open source: Fully managed data processing and integration for Hadoop/Spark workloads on Google Cloud: Dataproc.

  • No-code/Low-code: Data integration platform for UI-driven data preparation, ETL/ELT pipeline development, and management: Data Fusion. Run pipelines without a development environment for scheduling recurring batch jobs: Dataflow Template.

Data replication

  • Replication and change data capture.

  • Cloud native: Serverless, performant and simple replication and change data capture with Datastream.

Data ingestion

  • Pure data ingestion without any transforms gets your raw data into Google Cloud.

Data integration

  • Combine multiple data sources covering ETL and ELT patterns.

Data replication

  • Replication and change data capture.

Data ingestion

Data integration

  • Cloud native: Fully managed and unified data processing and integration platform: Dataflow.

  • Open source: Fully managed data processing and integration for Hadoop/Spark workloads on Google Cloud: Dataproc.

  • No-code/Low-code: Data integration platform for UI-driven data preparation, ETL/ELT pipeline development, and management: Data Fusion. Run pipelines without a development environment for scheduling recurring batch jobs: Dataflow Template.

Data replication

  • Cloud native: Serverless, performant and simple replication and change data capture with Datastream.

Pricing

Pricing

Detailed pricing of the data movement products can be accessed below.

Partners

Strategic ISVs

The Google Cloud portfolio is supplemented by key strategic partners to support your data movement needs.

Data ingestion

  • Confluent
  • Fivetran
  • Trifacta (acquired by Alteryx)
  • Informatica
  • Palantir
  • HVR (acquired by Fivetran)
  • Striim
  • Qlik Replicate

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